AlinaAlbasova's Stars
naver-ai/relabel_imagenet
ngruver/lie-deriv
microsoft/VideoX
VideoX: a collection of video cross-modal models
Deci-AI/super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
zbr17/AVSL
[CVPR 2022] Official PyTorch implementation for Attributable Visual Similarity Learning
anguyen8/visual-correspondence-XAI
Official code for NeurIPS 2022 paper https://arxiv.org/abs/2208.00780 Visual correspondence-based explanations improve AI robustness and human-AI team accuracy
Confusezius/ECCV2020_DiVA_MultiFeature_DML
(ECCV 2020) This repo contains code for "DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning" (https://arxiv.org/abs/2004.13458), which extends vanilla DML with auxiliary and self-supervised features.
htdt/hyp_metric
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning | Official repository
phlippe/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
dvl-tum/intra_batch
Official PyTorch implementation of Learning Intra-Batch Connections for Deep Metric Learning (ICML 2021) published at International Conference on Machine Learning
facebookresearch/mmf
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
andrewekhalel/MLQuestions
Machine Learning and Computer Vision Engineer - Technical Interview Questions
UKPLab/sentence-transformers
State-of-the-Art Text Embeddings
huawei-noah/Efficient-AI-Backbones
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
divamgupta/stable-diffusion-tensorflow
Stable Diffusion in TensorFlow / Keras
clementchadebec/benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Westlake-AI/openmixup
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
dair-ai/ML-Course-Notes
🎓 Sharing machine learning course / lecture notes.
timzhang642/3D-Machine-Learning
A resource repository for 3D machine learning
data-folks/data-science-learning-path
Data Science Learning Path - A complete guide to learn data science for beginners
Kazuhito00/sahi-yolox-onnx-sample
SAHI(Slicing Aided Hyper Inference)をYOLOX(ONNX)で動かしたサンプル
artix41/awesome-quantum-ml
Curated list of awesome papers and resources in quantum machine learning
jbhuang0604/awesome-tips
desireevl/awesome-quantum-computing
A curated list of awesome quantum computing learning and developing resources.
Developer-Y/cs-video-courses
List of Computer Science courses with video lectures.
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
dair-ai/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
jax-ml/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
HIPS/autograd
Efficiently computes derivatives of NumPy code.
gradsflow/gradsflow-automl
An open-source AutoML Library based on PyTorch